@inbook{f1ddaf34e6224f8a834fe7a3969df762,
title = "A Scaleless Data Model for Direct and Progressive Spatial Query Processing",
abstract = "A progressive spatial query retrieves spatial data based on previous queries (e.g., to fetch data in a more restricted area with higher resolution). A direct query, on the other side, is defined as an isolated window query. A multi-resolution spatial database system should support both progressive queries and traditional direct queries. It is conceptually challenging to support both types of query at the same time, as direct queries favour location-based data clustering, whereas progressive queries require fragmented data clustered by resolutions. Two new scaleless data structures are proposed in this paper. Experimental results using both synthetic and real world datasets demonstrate that the query processing time based on the new multiresolution approaches is comparable and often better than multi-representation data structures for both types of queries.",
author = "Sai Sun and Sham Prasher and Xiaofang Zhou",
year = "2004",
doi = "10.1007/978-3-540-30466-1\_14",
language = "English",
isbn = "3540237224",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "148--159",
editor = "Shan Wang and Katsumi Tanaka and Shuigeng Zhou and Ling, \{Tok Wang\} and Jihong Guan and Dongqing Yang and Fabio Grandi and Eleni Mangina and Il-Yeol Song and Mayr, \{Heinrich C.\}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}